RNA-seq and Differential Expression
This course covers the basic concepts and methodologies needed to conduct differential expression analyses with RNA-seq data.
Students will learn about the different techniques used to generate RNA-seq libraries and how to properly design a differential expression study. This online, asynchronous course will also cover the basic steps that need to be completed for differential expression analyses, including RNA-seq library quality control and trimming, read alignment to a reference genome, generating count files, and differential expression analysis and data visualization in R.
Prerequisites: This course requires access to the Texas A&M HPRC Grace cluster.
Short Variant Discovery
This course covers the bioinformatic methods used to identify short genetic variants in second generation sequencing data. This online, asynchronous course uses example data to work through a typical short variant discovery pipeline, from library QC and trimming, to mapping reads to a reference genome, and calling variants with the GATK software suite.
Prerequisites: This course requires access to the Texas A&M HPRC Grace cluster.
Metagenomics
This course covers the basic concepts and methods used in analyzing metagenomic data sets. Students will use example data to learn how to use the Qimme2 bioinformatics platform during this online, asynchronous course.
Prerequisites: This course requires access to the Texas A&M HPRC Grace cluster.